code: def unstacked_example():
      """List of dictionaries with flat arrays, i.e. unstacked form. Corresponds to stacked_example."""
      return [
          {"a": np.array([1]), "b": np.array([3])},
          {"a": np.array([2]), "b": np.array([4])},
      ]
  
file_path: maze/maze/test/train/utils/test_train_utils.py
imports: import numpy
  import torch
  from maze.perception.perception_utils import convert_to_torch
  from maze.train.utils.train_utils import unstack_numpy_list_dict, stack_numpy_dict_list, stack_torch_dict_list
label_desc: Use image node_id 2 for calling a global function with example usage: unstacked_example() and returns: list